SecureNets: Secure Inference of Deep Neural Networks on an Untrusted Cloud. - Xuhui Chen; Jinlong Ji; Lixing Yu; Changqing Luo; Pan Li 001 (ACML, 2018)

Multidimensional Time Series Anomaly Detection: A GRU-based Gaussian Mixture Variational Autoencoder Approach. - Yifan Guo 001; Weixian Liao; Qianlong Wang; Lixing Yu; Tianxi Ji; Pan Li 001 (ACML, 2018)

Online Power Control for 5G Wireless Communications: A Deep Q-Network Approach. - Changqing Luo; Jinlong Ji; Qianlong Wang; Lixing Yu; Pan Li 001 (ICC, 2018)

Cross-Domain Sentiment Classification via a Bifurcated-LSTM. - Jinlong Ji; Changqing Luo; Xuhui Chen; Lixing Yu; Pan Li 001 (PAKDD (1), 2018)

Exploring Spatial-Temporal Patterns From Individual User Cellular Traffic. - Lixing Yu; Wenqiang Jin; Ming Li 006; Pan Li 001 (DySPAN, 2019)

PerRNN: Personalized Recurrent Neural Networks for Acceleration-Based Human Activity Recognition. - Xufei Wang; Weixian Liao; Yifan Guo 001; Lixing Yu; Qianlong Wang; Miao Pan; Pan Li 001 (ICC, 2019)

Quantized Adversarial Training: An Iterative Quantized Local Search Approach. - Yifan Guo 001; Tianxi Ji; Qianlong Wang; Lixing Yu; Pan Li 001 (ICDM, 2019)

Learning to Learn Gradient Aggregation by Gradient Descent. - Jinlong Ji; Xuhui Chen; Qianlong Wang; Lixing Yu; Pan Li 001 (IJCAI, 2019)

TrafficChain: A Blockchain-Based Secure and Privacy-Preserving Traffic Map. - Qianlong Wang; Tianxi Ji; Yifan Guo 001; Lixing Yu; Xuhui Chen; Pan Li 001 (IEEE Access, 2020)

AI at the Edge: Blockchain-Empowered Secure Multiparty Learning With Heterogeneous Models. - Qianlong Wang; Yifan Guo 001; Xufei Wang; Tianxi Ji; Lixing Yu; Pan Li 001 (IEEE Internet Things J., 2020)

Spectrum Availability Prediction for Cognitive Radio Communications: A DCG Approach. - Lixing Yu; Yifan Guo 001; Qianlong Wang; Changqing Luo; Ming Li 006; Weixian Liao; Pan Li 001 (IEEE Trans. Cogn. Commun. Netw., 2020)

Community Detection in Online Social Networks: A Differentially Private and Parsimonious Approach. - Tianxi Ji; Changqing Luo; Yifan Guo 001; Qianlong Wang; Lixing Yu; Pan Li 001 (IEEE Trans. Comput. Soc. Syst., 2020)

Earthquake Prediction Based on Spatio-Temporal Data Mining: An LSTM Network Approach. - Qianlong Wang; Yifan Guo 001; Lixing Yu; Pan Li 001 (IEEE Trans. Emerg. Top. Comput., 2020)

Unsupervised Anomaly Detection in IoT Systems for Smart Cities. - Yifan Guo 001; Tianxi Ji; Qianlong Wang; Lixing Yu; Geyong Min; Pan Li 001 (IEEE Trans. Netw. Sci. Eng., 2020)

Weak Signal Detection in 5G+ Systems: A Distributed Deep Learning Framework. - Yifan Guo 001; Lixing Yu; Qianlong Wang; Tianxi Ji; Yuguang Fang; Jin Wei-Kocsis; Pan Li 001 (MobiHoc, 2021)

Deep Q-Network-Based Feature Selection for Multisourced Data Cleaning. - Qianlong Wang; Yifan Guo 001; Lixing Yu; Xuhui Chen; Pan Li 001 (IEEE Internet Things J., 2021)

STEP: A Spatio-Temporal Fine-Granular User Traffic Prediction System for Cellular Networks. - Lixing Yu; Ming Li 006; Wenqiang Jin; Yifan Guo 001; Qianlong Wang; Feng Yan 001; Pan Li 001 (IEEE Trans. Mob. Comput., 2021)

An Anomaly Detection System for Transparent Objects Using Polarized-Image Fusion Technique. - Lixing Yu; Atsutake Kosuge; Mototsugu Hamada; Tadahiro Kuroda (SAS, 2022)

Energy-Efficient Computation Offloading in MobileEdge Computing Systems with Uncertainties. - Tianxi Ji; Changqing Luo; Lixing Yu; Qianlong Wang; Siheng Chen; Arun Thapa; Pan Li 001 (CoRR, 2022)

Energy-Efficient Computation Offloading in Mobile Edge Computing Systems With Uncertainties. - Tianxi Ji; Changqing Luo; Lixing Yu; Qianlong Wang; Siheng Chen; Arun Thapa; Pan Li 001 (IEEE Trans. Wirel. Commun., 2022)

FedLTF: Linear Probing Teaches Fine-tuning to Mitigate Noisy Labels in Federated Learning. - Shaojie Zhan; Lixing Yu; Hanqi Chen; Tianxi Ji (ACML, 2024)

Anomaly Detection for Multivariate Time Series with Multi-scale Feature Interactions. - Fulu Kou; Lixing Yu; Kun Yue; Liang Duan; Zhongbin Li (DASFAA (5), 2024)

Efficient Federated Learning With Channel Status Awareness and Devices' Personal Touch. - Lixing Yu; Tianxi Ji (IEEE Trans. Mob. Comput., 2024)

Time-independent Spiking Neuron via Membrane Potential Estimation for Efficient Spiking Neural Networks. - Hanqi Chen; Lixing Yu; Shaojie Zhan; Penghui Yao; Jiankun Shao (ICASSP, 2025)

Improving Graph Contrastive Learning with Community Structure. - Xiang Chen; Kun Yue; Liang Duan; Lixing Yu (UAI, 2025)

Probabilistic Semantics Guided Discovery of Approximate Functional Dependencies. - Liang Duan; Xinran Wu; Xinhui Li; Lixing Yu; Kun Yue (UAI, 2025)

FedELR: When federated learning meets learning with noisy labels. - Ruizhi Pu; Lixing Yu; Shaojie Zhan; Gezheng Xu; Fan Zhou 006; Charles X. Ling; Boyu Wang 004 (Neural Networks, 2025)

SpikingViT: A Multiscale Spiking Vision Transformer Model for Event-Based Object Detection. - Lixing Yu; Hanqi Chen; Ziming Wang; Shaojie Zhan; Jiankun Shao; Qingjie Liu; Shu Xu (IEEE Trans. Cogn. Dev. Syst., 2025)